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[Other resourceLLE

Description: 这是我从网上下载到的Locally Linear Embedding(LLE)的Matlab代码,希望对研究Manifold Leanring的同事有所帮助。-This is my downloaded from the Internet to the Locally Linear Embedding (Locally ) Matlab code, and I hope to study Manifold Leanring colleagues help.
Platform: | Size: 2969 | Author: 赵启军 | Hits:

[AI-NN-PRLLE

Description: 这是我从网上下载到的Locally Linear Embedding(LLE)的Matlab代码,希望对研究Manifold Leanring的同事有所帮助。-This is my downloaded from the Internet to the Locally Linear Embedding (Locally ) Matlab code, and I hope to study Manifold Leanring colleagues help.
Platform: | Size: 3072 | Author: 赵启军 | Hits:

[matlablle

Description: 局部线性嵌入法,用于数据降维 .lle.m -- A simple matlab routine to perform LLE. .scurve.m -- Code to run the "s-curve" example. .swissroll.m -- Code to run the "swiss roll" example. -Locally Linear Embedding method for data dimensionality reduction. Lle.m- A simple matlab routine to perform LLE.. Scurve.m- Code to run the s-curve example.. Swissroll.m- Code to run the swiss roll example.
Platform: | Size: 7168 | Author: Mike | Hits:

[Software EngineeringAn.Introduction.to.Locally.Linear.Embedding

Description: Many problems in statistical pattern recognition begin with the preprocessing of multidimensional signals, such as images of faces or spectrograms of speech.
Platform: | Size: 566272 | Author: memcpy | Hits:

[Embeded-SCM Developlle_roweis

Description: 这是LLE的原始算法,原文的参考文献是:S.T.Roweis and L.K.Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290, 2000.-This is the original LLE algorithm, the original reference is: STRoweis and LKSaul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290, 2000.
Platform: | Size: 1024 | Author: treat | Hits:

[AI-NN-PRLLEmultimanifoldlearning

Description: 基于局部线性嵌入_LLE_非线性降维的多流形学习,是当前人脸识别的新方向-Face Recognition Based on Locally Linear Embedding for Nonlinear Dimensionality Reduction _LLE_ multi-manifold learning
Platform: | Size: 988160 | Author: 孙浩量 | Hits:

[Special Effectsdrtoolbox.tar

Description: 这是一个MATLAB工具箱包括32个降维程序,主要包括 pca,lda,MDS等十几个程序包,对于图像处理非常具有参考价值- ,This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techniques are available: - Principal Component Analysis ( PCA ) - Linear Discriminant Analysis ( LDA ) - Multidimensional scaling ( MDS ) - Probabilistic PCA ( ProbPCA ) - Factor analysis ( FactorAnalysis ) - Sammon mapping ( Sammon ) - Isomap ( Isomap ) - Landmark Isomap ( LandmarkIsomap ) - Locally Linear Embedding ( LLE ) - Laplacian Eigenmaps ( Laplacian ) - Hessian LLE ( HessianLLE ) - Local Tangent Space Alignment ( LTSA ) - Diffusion maps ( DiffusionMaps ) - Kernel PCA ( KernelPCA ) - Generalized Discriminant Analysis ( KernelLDA )
Platform: | Size: 1108992 | Author: yang | Hits:

[File Formatear3

Description: 国际会议上的关于人耳图像识别的论文: 改进的局部线性嵌入多姿态耳识别方法-MULTI-POSE EAR RECOGNITION BASED ON IMPROVED LOCALLY LINEAR EMBEDDING
Platform: | Size: 319488 | Author: 王景涛 | Hits:

[Speech/Voice recognition/combinetoolbox_dimreduc

Description: This toolbox is an educational and recreative toolbox around recent ideas in the field of dimension reduction. * PCA : classical Principal Componnent Analysis (linear projection). * Nonlinear dimensionality reduction by locally linear embedding. * Laplacian Eigenmaps for dimensionality reduction and data representation-This toolbox is an educational and recreative toolbox around recent ideas in the field of dimension reduction. * PCA : classical Principal Componnent Analysis (linear projection). * Nonlinear dimensionality reduction by locally linear embedding. * Laplacian Eigenmaps for dimensionality reduction and data representation
Platform: | Size: 226304 | Author: tra ba huy | Hits:

[AI-NN-PRSLLE

Description: 引入数据类别信息的有监督局部线性嵌入算法,可用于数据分类-Supervised Locally Linear Embedding
Platform: | Size: 1024 | Author: nudt | Hits:

[matlabLLE

Description: 流行学习英文文献,主要是局部线性嵌入方法的改进-Pop learning English literature, mainly locally linear embedding Improvement
Platform: | Size: 1803264 | Author: 小权 | Hits:

[OtherNonlinearDimensionalityReductionbyLocallLinearEmbe

Description: 一篇2000年流行的降维文章。学习降维必看。-Nonlinear Dimensionality Reduction by Locally Linear Embedding
Platform: | Size: 668672 | Author: shi | Hits:

[Special EffectsSparseLab200-Core

Description: 基于多帧图像插值(Interpolation)技术的方法是SR恢复技术当中最直观 的方法。这类方法首先估计各帧图像之间的相对运动信息,获得HR图像在非均 匀间距采样点上的象素值,接着通过非均匀插值得到HR栅格上的象素值,最后 采用图像恢复技术来去除模糊和降低噪声(运动估计!非均匀插值!去模糊和 噪声)。-In this paper, we propose a novel method for solv- ing single-image super-resolution problems. Given a low-resolution image as input, we recover its high- resolution counterpart using a set of training exam- ples. While this formulation resembles other learning- based methods for super-resolution, our method has been inspired by recent manifold learning methods, par- ticularly locally linear embedding (LLE). Speci?cally, small image patches in the low- and high-resolution images form manifolds with similar local geometry in two distinct feature spaces. As in LLE, local geometry is characterized by how a feature vector correspond- ing to a patch can be reconstructed by its neighbors in the feature space. Besides using the training image pairs to estimate the high-resolution embedding, we also enforce local compatibility and smoothness con- straints between patches in the target high-resolution image through overlapping. Experiments show that our method is very ?exible
Platform: | Size: 27595776 | Author: qianyeyu | Hits:

[matlablle

Description: Locally-Linear Embedding (LLE)[9] was presented at approximately the same time as Isomap. It has several advantages over Isomap, including faster optimization when implemented to take advantage of sparse matrix algorithms, and better results with many problems. LLE also begins by finding a set of the nearest neighbors of each point. It then computes a set of weights for each point that best describe the point as a linear combination of its neighbors. Finally, it uses an eigenvector-based optimization technique to find the low-dimensional embedding of points, such that each point is still described with the same linear combination of its neighbors. LLE tends to handle non-uniform sample densities poorly because there is no fixed unit to prevent the weights from drifting as various regions differ in sample densities. LLE has no internal model.
Platform: | Size: 2048 | Author: Karthikeyan | Hits:

[Special Effectslle

Description: 基于流形的lle(局部线性嵌入)算法。 可以设置领域大小,计算速度较快。-Based on manifold lle (Locally Linear Embedding) algorithm. Field size can be set to calculate faster.
Platform: | Size: 1024 | Author: 陈普登 | Hits:

[Special Effectsswissroll

Description: 基于LLE(局部线性嵌入)算法的瑞士卷降维程序,程序自动生成瑞士卷,然后降维输出图像。-Based on LLE (locally linear embedding) dimensionality reduction algorithm Swiss roll program, the program automatically generates Swiss roll, then drop-dimensional output image.
Platform: | Size: 1024 | Author: 陈普登 | Hits:

[Data structsLLE-and-improve

Description: LLE(局部线性嵌入)算法研究介绍的pdf,属于算法的开山之作,LLE算法基础核心。学习LLE从这篇开始。-LLE (Locally Linear Embedding) algorithm introduced in pdf, the mountains are algorithms for, LLE algorithm is based on the core. LLE learn from this start.
Platform: | Size: 206848 | Author: 陈普登 | Hits:

[Special Effectslle

Description: 局部线性嵌入,是一种流行学习的算法,可以学习任意维数的低维流形-locally linear embedding is a algorithm of manifold learning, it can be used to learn arbitrary dimension of low dimensional manifold
Platform: | Size: 1024 | Author: QSJ | Hits:

[matlabLLE

Description: 高维非线性数据维数约减,局部线性嵌入算法-Dimension reduction of the higher dimensional nonlinear data,locally linear embedding.
Platform: | Size: 118784 | Author: 蔡传晰 | Hits:

[matlabmanifold-learning.lle

Description: 流形学习是一种新的无监督机器学习方法,局部线形嵌入(Locally Linear Embedding,LLE)发现嵌入在高维数据中的低维流形,流形学习算法,MATLAB程序-manifold learning
Platform: | Size: 1024 | Author: 肖海兵 | Hits:
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